Dataset statistics
| Number of variables | 20 |
|---|---|
| Number of observations | 338592 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 336793 |
| Duplicate rows (%) | 99.5% |
| Total size in memory | 51.7 MiB |
| Average record size in memory | 160.0 B |
Variable types
| Categorical | 12 |
|---|---|
| Numeric | 8 |
| Dataset has 336793 (99.5%) duplicate rows | Duplicates |
Jyotai8Chakukaisu6 has 254252 (75.1%) zeros | Zeros |
Jyotai9Chakukaisu1 has 327500 (96.7%) zeros | Zeros |
Jyotai9Chakukaisu2 has 329177 (97.2%) zeros | Zeros |
Jyotai9Chakukaisu3 has 329002 (97.2%) zeros | Zeros |
Jyotai9Chakukaisu4 has 329399 (97.3%) zeros | Zeros |
Jyotai9Chakukaisu5 has 329146 (97.2%) zeros | Zeros |
Jyotai9Chakukaisu6 has 306577 (90.5%) zeros | Zeros |
Jyotai10Chakukaisu6 has 323548 (95.6%) zeros | Zeros |
Reproduction
| Analysis started | 2021-04-07 13:24:09.509719 |
|---|---|
| Analysis finished | 2021-04-07 13:25:31.166495 |
| Duration | 1 minute and 21.66 seconds |
| Software version | pandas-profiling v2.11.0 |
| Download configuration | config.yaml |
Jyotai8Chakukaisu2
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 15271 |
| 2 | 1123 |
| 3 | 113 |
| 4 | 24 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 322061 | |
| 1 | 15271 | 4.5% |
| 2 | 1123 | 0.3% |
| 3 | 113 | < 0.1% |
| 4 | 24 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 322061 | |
| 1 | 15271 | 4.5% |
| 2 | 1123 | 0.3% |
| 3 | 113 | < 0.1% |
| 4 | 24 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 322061 | |
| 1 | 15271 | 4.5% |
| 2 | 1123 | 0.3% |
| 3 | 113 | < 0.1% |
| 4 | 24 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 322061 | |
| 1 | 15271 | 4.5% |
| 2 | 1123 | 0.3% |
| 3 | 113 | < 0.1% |
| 4 | 24 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 322061 | |
| 1 | 15271 | 4.5% |
| 2 | 1123 | 0.3% |
| 3 | 113 | < 0.1% |
| 4 | 24 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 322061 | |
| 1 | 15271 | 4.5% |
| 2 | 1123 | 0.3% |
| 3 | 113 | < 0.1% |
| 4 | 24 | < 0.1% |
Jyotai8Chakukaisu3
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 14526 |
| 2 | 999 |
| 3 | 69 |
| 4 | 22 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 322976 | |
| 1 | 14526 | 4.3% |
| 2 | 999 | 0.3% |
| 3 | 69 | < 0.1% |
| 4 | 22 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 322976 | |
| 1 | 14526 | 4.3% |
| 2 | 999 | 0.3% |
| 3 | 69 | < 0.1% |
| 4 | 22 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 322976 | |
| 1 | 14526 | 4.3% |
| 2 | 999 | 0.3% |
| 3 | 69 | < 0.1% |
| 4 | 22 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 322976 | |
| 1 | 14526 | 4.3% |
| 2 | 999 | 0.3% |
| 3 | 69 | < 0.1% |
| 4 | 22 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 322976 | |
| 1 | 14526 | 4.3% |
| 2 | 999 | 0.3% |
| 3 | 69 | < 0.1% |
| 4 | 22 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 322976 | |
| 1 | 14526 | 4.3% |
| 2 | 999 | 0.3% |
| 3 | 69 | < 0.1% |
| 4 | 22 | < 0.1% |
Jyotai8Chakukaisu4
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 13873 |
| 2 | 814 |
| 3 | 69 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 323836 | |
| 1 | 13873 | 4.1% |
| 2 | 814 | 0.2% |
| 3 | 69 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 323836 | |
| 1 | 13873 | 4.1% |
| 2 | 814 | 0.2% |
| 3 | 69 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 323836 | |
| 1 | 13873 | 4.1% |
| 2 | 814 | 0.2% |
| 3 | 69 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 323836 | |
| 1 | 13873 | 4.1% |
| 2 | 814 | 0.2% |
| 3 | 69 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 323836 | |
| 1 | 13873 | 4.1% |
| 2 | 814 | 0.2% |
| 3 | 69 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 323836 | |
| 1 | 13873 | 4.1% |
| 2 | 814 | 0.2% |
| 3 | 69 | < 0.1% |
Jyotai8Chakukaisu5
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 14313 |
| 2 | 901 |
| 3 | 29 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 323349 | |
| 1 | 14313 | 4.2% |
| 2 | 901 | 0.3% |
| 3 | 29 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 323349 | |
| 1 | 14313 | 4.2% |
| 2 | 901 | 0.3% |
| 3 | 29 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 323349 | |
| 1 | 14313 | 4.2% |
| 2 | 901 | 0.3% |
| 3 | 29 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 323349 | |
| 1 | 14313 | 4.2% |
| 2 | 901 | 0.3% |
| 3 | 29 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 323349 | |
| 1 | 14313 | 4.2% |
| 2 | 901 | 0.3% |
| 3 | 29 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 323349 | |
| 1 | 14313 | 4.2% |
| 2 | 901 | 0.3% |
| 3 | 29 | < 0.1% |
| Distinct | 9 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3326008884 |
|---|---|
| Minimum | 0 |
| Maximum | 8 |
| Zeros | 254252 |
| Zeros (%) | 75.1% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 8 |
| Range | 8 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.6672443912 |
|---|---|
| Coefficient of variation (CV) | 2.006141338 |
| Kurtosis | 8.4275002 |
| Mean | 0.3326008884 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.517420239 |
| Sum | 112616 |
| Variance | 0.4452150776 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 0 | 254252 | |
| 1 | 63171 | 18.7% |
| 2 | 15826 | 4.7% |
| 3 | 4081 | 1.2% |
| 4 | 848 | 0.3% |
| 5 | 370 | 0.1% |
| 7 | 20 | < 0.1% |
| 8 | 12 | < 0.1% |
| 6 | 12 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 254252 | |
| 1 | 63171 | 18.7% |
| 2 | 15826 | 4.7% |
| 3 | 4081 | 1.2% |
| 4 | 848 | 0.3% |
| Value | Count | Frequency (%) |
| 8 | 12 | < 0.1% |
| 7 | 20 | < 0.1% |
| 6 | 12 | < 0.1% |
| 5 | 370 | |
| 4 | 848 |
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.04628579529 |
|---|---|
| Minimum | 0 |
| Maximum | 11 |
| Zeros | 327500 |
| Zeros (%) | 96.7% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 11 |
| Range | 11 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.3119943521 |
|---|---|
| Coefficient of variation (CV) | 6.74060692 |
| Kurtosis | 251.118212 |
| Mean | 0.04628579529 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 12.30456656 |
| Sum | 15672 |
| Variance | 0.09734047572 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 0 | 327500 | |
| 1 | 8533 | 2.5% |
| 2 | 1566 | 0.5% |
| 3 | 537 | 0.2% |
| 5 | 187 | 0.1% |
| 4 | 164 | < 0.1% |
| 6 | 70 | < 0.1% |
| 11 | 35 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 327500 | |
| 1 | 8533 | 2.5% |
| 2 | 1566 | 0.5% |
| 3 | 537 | 0.2% |
| 4 | 164 | < 0.1% |
| Value | Count | Frequency (%) |
| 11 | 35 | < 0.1% |
| 6 | 70 | < 0.1% |
| 5 | 187 | 0.1% |
| 4 | 164 | < 0.1% |
| 3 | 537 |
| Distinct | 9 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.04381084019 |
|---|---|
| Minimum | 0 |
| Maximum | 10 |
| Zeros | 329177 |
| Zeros (%) | 97.2% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 10 |
| Range | 10 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.2999651477 |
|---|---|
| Coefficient of variation (CV) | 6.846824813 |
| Kurtosis | 115.8746743 |
| Mean | 0.04381084019 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 9.284376381 |
| Sum | 14834 |
| Variance | 0.08997908981 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 0 | 329177 | |
| 1 | 5814 | 1.7% |
| 2 | 2386 | 0.7% |
| 3 | 776 | 0.2% |
| 4 | 335 | 0.1% |
| 5 | 82 | < 0.1% |
| 8 | 9 | < 0.1% |
| 6 | 8 | < 0.1% |
| 10 | 5 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 329177 | |
| 1 | 5814 | 1.7% |
| 2 | 2386 | 0.7% |
| 3 | 776 | 0.2% |
| 4 | 335 | 0.1% |
| Value | Count | Frequency (%) |
| 10 | 5 | < 0.1% |
| 8 | 9 | < 0.1% |
| 6 | 8 | < 0.1% |
| 5 | 82 | < 0.1% |
| 4 | 335 |
| Distinct | 9 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.04247885361 |
|---|---|
| Minimum | 0 |
| Maximum | 8 |
| Zeros | 329002 |
| Zeros (%) | 97.2% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 8 |
| Range | 8 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.2988896101 |
|---|---|
| Coefficient of variation (CV) | 7.036197654 |
| Kurtosis | 166.4138018 |
| Mean | 0.04247885361 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 10.8550897 |
| Sum | 14383 |
| Variance | 0.08933499901 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 0 | 329002 | |
| 1 | 6600 | 1.9% |
| 2 | 2021 | 0.6% |
| 3 | 596 | 0.2% |
| 4 | 156 | < 0.1% |
| 6 | 107 | < 0.1% |
| 5 | 53 | < 0.1% |
| 7 | 34 | < 0.1% |
| 8 | 23 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 329002 | |
| 1 | 6600 | 1.9% |
| 2 | 2021 | 0.6% |
| 3 | 596 | 0.2% |
| 4 | 156 | < 0.1% |
| Value | Count | Frequency (%) |
| 8 | 23 | < 0.1% |
| 7 | 34 | < 0.1% |
| 6 | 107 | |
| 5 | 53 | < 0.1% |
| 4 | 156 |
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.0421835129 |
|---|---|
| Minimum | 0 |
| Maximum | 6 |
| Zeros | 329399 |
| Zeros (%) | 97.3% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.2921863995 |
|---|---|
| Coefficient of variation (CV) | 6.926554461 |
| Kurtosis | 109.2106045 |
| Mean | 0.0421835129 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 9.264638308 |
| Sum | 14283 |
| Variance | 0.08537289203 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 329399 | |
| 1 | 5845 | 1.7% |
| 2 | 2104 | 0.6% |
| 3 | 954 | 0.3% |
| 4 | 157 | < 0.1% |
| 6 | 75 | < 0.1% |
| 5 | 58 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 329399 | |
| 1 | 5845 | 1.7% |
| 2 | 2104 | 0.6% |
| 3 | 954 | 0.3% |
| 4 | 157 | < 0.1% |
| Value | Count | Frequency (%) |
| 6 | 75 | < 0.1% |
| 5 | 58 | < 0.1% |
| 4 | 157 | < 0.1% |
| 3 | 954 | |
| 2 | 2104 |
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.03967902372 |
|---|---|
| Minimum | 0 |
| Maximum | 9 |
| Zeros | 329146 |
| Zeros (%) | 97.2% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.2739776566 |
|---|---|
| Coefficient of variation (CV) | 6.904848731 |
| Kurtosis | 161.6452565 |
| Mean | 0.03967902372 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 10.35570549 |
| Sum | 13435 |
| Variance | 0.07506375632 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 0 | 329146 | |
| 1 | 6821 | 2.0% |
| 2 | 1731 | 0.5% |
| 3 | 625 | 0.2% |
| 4 | 178 | 0.1% |
| 5 | 53 | < 0.1% |
| 7 | 21 | < 0.1% |
| 9 | 17 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 329146 | |
| 1 | 6821 | 2.0% |
| 2 | 1731 | 0.5% |
| 3 | 625 | 0.2% |
| 4 | 178 | 0.1% |
| Value | Count | Frequency (%) |
| 9 | 17 | < 0.1% |
| 7 | 21 | < 0.1% |
| 5 | 53 | < 0.1% |
| 4 | 178 | 0.1% |
| 3 | 625 |
| Distinct | 20 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.2592677913 |
|---|---|
| Minimum | 0 |
| Maximum | 22 |
| Zeros | 306577 |
| Zeros (%) | 90.5% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 22 |
| Range | 22 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.1144663 |
|---|---|
| Coefficient of variation (CV) | 4.298514265 |
| Kurtosis | 61.62236728 |
| Mean | 0.2592677913 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 6.850909988 |
| Sum | 87786 |
| Variance | 1.242035133 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 0 | 306577 | |
| 1 | 12917 | 3.8% |
| 2 | 7798 | 2.3% |
| 3 | 3846 | 1.1% |
| 4 | 2201 | 0.7% |
| 5 | 1560 | 0.5% |
| 6 | 1092 | 0.3% |
| 7 | 773 | 0.2% |
| 8 | 464 | 0.1% |
| 9 | 415 | 0.1% |
| Other values (10) | 949 | 0.3% |
| Value | Count | Frequency (%) |
| 0 | 306577 | |
| 1 | 12917 | 3.8% |
| 2 | 7798 | 2.3% |
| 3 | 3846 | 1.1% |
| 4 | 2201 | 0.7% |
| Value | Count | Frequency (%) |
| 22 | 1 | < 0.1% |
| 19 | 24 | < 0.1% |
| 17 | 2 | < 0.1% |
| 16 | 94 | |
| 15 | 77 |
Jyotai10Chakukaisu1
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 2667 |
| 2 | 365 |
| 3 | 53 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 335507 | |
| 1 | 2667 | 0.8% |
| 2 | 365 | 0.1% |
| 3 | 53 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 335507 | |
| 1 | 2667 | 0.8% |
| 2 | 365 | 0.1% |
| 3 | 53 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 335507 | |
| 1 | 2667 | 0.8% |
| 2 | 365 | 0.1% |
| 3 | 53 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 335507 | |
| 1 | 2667 | 0.8% |
| 2 | 365 | 0.1% |
| 3 | 53 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 335507 | |
| 1 | 2667 | 0.8% |
| 2 | 365 | 0.1% |
| 3 | 53 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 335507 | |
| 1 | 2667 | 0.8% |
| 2 | 365 | 0.1% |
| 3 | 53 | < 0.1% |
Jyotai10Chakukaisu2
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 2883 |
| 2 | 368 |
| 3 | 61 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 335280 | |
| 1 | 2883 | 0.9% |
| 2 | 368 | 0.1% |
| 3 | 61 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 335280 | |
| 1 | 2883 | 0.9% |
| 2 | 368 | 0.1% |
| 3 | 61 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 335280 | |
| 1 | 2883 | 0.9% |
| 2 | 368 | 0.1% |
| 3 | 61 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 335280 | |
| 1 | 2883 | 0.9% |
| 2 | 368 | 0.1% |
| 3 | 61 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 335280 | |
| 1 | 2883 | 0.9% |
| 2 | 368 | 0.1% |
| 3 | 61 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 335280 | |
| 1 | 2883 | 0.9% |
| 2 | 368 | 0.1% |
| 3 | 61 | < 0.1% |
Jyotai10Chakukaisu3
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 2859 |
| 2 | 353 |
| 3 | 54 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 335326 | |
| 1 | 2859 | 0.8% |
| 2 | 353 | 0.1% |
| 3 | 54 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 335326 | |
| 1 | 2859 | 0.8% |
| 2 | 353 | 0.1% |
| 3 | 54 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 335326 | |
| 1 | 2859 | 0.8% |
| 2 | 353 | 0.1% |
| 3 | 54 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 335326 | |
| 1 | 2859 | 0.8% |
| 2 | 353 | 0.1% |
| 3 | 54 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 335326 | |
| 1 | 2859 | 0.8% |
| 2 | 353 | 0.1% |
| 3 | 54 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 335326 | |
| 1 | 2859 | 0.8% |
| 2 | 353 | 0.1% |
| 3 | 54 | < 0.1% |
Jyotai10Chakukaisu4
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 2986 |
| 2 | 263 |
| 3 | 25 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 335318 | |
| 1 | 2986 | 0.9% |
| 2 | 263 | 0.1% |
| 3 | 25 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 335318 | |
| 1 | 2986 | 0.9% |
| 2 | 263 | 0.1% |
| 3 | 25 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 335318 | |
| 1 | 2986 | 0.9% |
| 2 | 263 | 0.1% |
| 3 | 25 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 335318 | |
| 1 | 2986 | 0.9% |
| 2 | 263 | 0.1% |
| 3 | 25 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 335318 | |
| 1 | 2986 | 0.9% |
| 2 | 263 | 0.1% |
| 3 | 25 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 335318 | |
| 1 | 2986 | 0.9% |
| 2 | 263 | 0.1% |
| 3 | 25 | < 0.1% |
Jyotai10Chakukaisu5
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 2737 |
| 2 | 365 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 335490 | |
| 1 | 2737 | 0.8% |
| 2 | 365 | 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 335490 | |
| 1 | 2737 | 0.8% |
| 2 | 365 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 335490 | |
| 1 | 2737 | 0.8% |
| 2 | 365 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 335490 | |
| 1 | 2737 | 0.8% |
| 2 | 365 | 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 335490 | |
| 1 | 2737 | 0.8% |
| 2 | 365 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 335490 | |
| 1 | 2737 | 0.8% |
| 2 | 365 | 0.1% |
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.06698622531 |
|---|---|
| Minimum | 0 |
| Maximum | 6 |
| Zeros | 323548 |
| Zeros (%) | 95.6% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.3653271544 |
|---|---|
| Coefficient of variation (CV) | 5.453765348 |
| Kurtosis | 72.74244026 |
| Mean | 0.06698622531 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 7.541617195 |
| Sum | 22681 |
| Variance | 0.1334639297 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 323548 | |
| 1 | 10262 | 3.0% |
| 2 | 2954 | 0.9% |
| 3 | 1203 | 0.4% |
| 4 | 316 | 0.1% |
| 5 | 216 | 0.1% |
| 6 | 93 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 323548 | |
| 1 | 10262 | 3.0% |
| 2 | 2954 | 0.9% |
| 3 | 1203 | 0.4% |
| 4 | 316 | 0.1% |
| Value | Count | Frequency (%) |
| 6 | 93 | < 0.1% |
| 5 | 216 | 0.1% |
| 4 | 316 | 0.1% |
| 3 | 1203 | |
| 2 | 2954 |
Jyotai11Chakukaisu1
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 1821 |
| 2 | 74 |
| 3 | 23 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 336674 | |
| 1 | 1821 | 0.5% |
| 2 | 74 | < 0.1% |
| 3 | 23 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 336674 | |
| 1 | 1821 | 0.5% |
| 2 | 74 | < 0.1% |
| 3 | 23 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 336674 | |
| 1 | 1821 | 0.5% |
| 2 | 74 | < 0.1% |
| 3 | 23 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 336674 | |
| 1 | 1821 | 0.5% |
| 2 | 74 | < 0.1% |
| 3 | 23 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 336674 | |
| 1 | 1821 | 0.5% |
| 2 | 74 | < 0.1% |
| 3 | 23 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 336674 | |
| 1 | 1821 | 0.5% |
| 2 | 74 | < 0.1% |
| 3 | 23 | < 0.1% |
Jyotai11Chakukaisu2
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 1677 |
| 2 | 147 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 336768 | |
| 1 | 1677 | 0.5% |
| 2 | 147 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 336768 | |
| 1 | 1677 | 0.5% |
| 2 | 147 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 336768 | |
| 1 | 1677 | 0.5% |
| 2 | 147 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 336768 | |
| 1 | 1677 | 0.5% |
| 2 | 147 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 336768 | |
| 1 | 1677 | 0.5% |
| 2 | 147 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 336768 | |
| 1 | 1677 | 0.5% |
| 2 | 147 | < 0.1% |
Jyotai11Chakukaisu3
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 1884 |
| 2 | 150 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 336558 | |
| 1 | 1884 | 0.6% |
| 2 | 150 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 336558 | |
| 1 | 1884 | 0.6% |
| 2 | 150 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 336558 | |
| 1 | 1884 | 0.6% |
| 2 | 150 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 336558 | |
| 1 | 1884 | 0.6% |
| 2 | 150 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 336558 | |
| 1 | 1884 | 0.6% |
| 2 | 150 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 336558 | |
| 1 | 1884 | 0.6% |
| 2 | 150 | < 0.1% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| Jyotai8Chakukaisu2 | Jyotai8Chakukaisu3 | Jyotai8Chakukaisu4 | Jyotai8Chakukaisu5 | Jyotai8Chakukaisu6 | Jyotai9Chakukaisu1 | Jyotai9Chakukaisu2 | Jyotai9Chakukaisu3 | Jyotai9Chakukaisu4 | Jyotai9Chakukaisu5 | Jyotai9Chakukaisu6 | Jyotai10Chakukaisu1 | Jyotai10Chakukaisu2 | Jyotai10Chakukaisu3 | Jyotai10Chakukaisu4 | Jyotai10Chakukaisu5 | Jyotai10Chakukaisu6 | Jyotai11Chakukaisu1 | Jyotai11Chakukaisu2 | Jyotai11Chakukaisu3 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last rows
| Jyotai8Chakukaisu2 | Jyotai8Chakukaisu3 | Jyotai8Chakukaisu4 | Jyotai8Chakukaisu5 | Jyotai8Chakukaisu6 | Jyotai9Chakukaisu1 | Jyotai9Chakukaisu2 | Jyotai9Chakukaisu3 | Jyotai9Chakukaisu4 | Jyotai9Chakukaisu5 | Jyotai9Chakukaisu6 | Jyotai10Chakukaisu1 | Jyotai10Chakukaisu2 | Jyotai10Chakukaisu3 | Jyotai10Chakukaisu4 | Jyotai10Chakukaisu5 | Jyotai10Chakukaisu6 | Jyotai11Chakukaisu1 | Jyotai11Chakukaisu2 | Jyotai11Chakukaisu3 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 338582 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338583 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338584 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338585 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338586 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338587 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338588 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338589 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338590 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338591 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Most frequent
| Jyotai8Chakukaisu2 | Jyotai8Chakukaisu3 | Jyotai8Chakukaisu4 | Jyotai8Chakukaisu5 | Jyotai8Chakukaisu6 | Jyotai9Chakukaisu1 | Jyotai9Chakukaisu2 | Jyotai9Chakukaisu3 | Jyotai9Chakukaisu4 | Jyotai9Chakukaisu5 | Jyotai9Chakukaisu6 | Jyotai10Chakukaisu1 | Jyotai10Chakukaisu2 | Jyotai10Chakukaisu3 | Jyotai10Chakukaisu4 | Jyotai10Chakukaisu5 | Jyotai10Chakukaisu6 | Jyotai11Chakukaisu1 | Jyotai11Chakukaisu2 | Jyotai11Chakukaisu3 | count | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 202544 |
| 908 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42052 |
| 1157 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9325 |
| 1562 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5393 |
| 1437 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5264 |
| 1255 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4775 |
| 1343 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4722 |
| 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3199 |
| 1600 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2676 |
| 1296 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2519 |